Difference Between Data Duplication and Compression
Data Duplication |
Compression |
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Data duplication is a technique that lowers storage overhead by getting rid of duplicate data. |
Data Compression is the process of encoding, reorganizing, or otherwise altering data to make it smaller. |
In Duplication, the data is grouped according to the shared blocks. |
Compression reduces the size of the data file by removing extraneous data, whitespace, etc. |
In Duplication Insignificant data loss happens. |
In Compression data loss is minimal |
Duplication rates can be as low as 4:1, as high as 20:1, and in certain cases, as high as 200:1 |
Compression can reduce data size to a ratio of 2:1 to 2.5:1. |
Hash numbers and pointers cause significant changes to data. |
Fundamental information doesn’t change. |
What is Data Duplication?
Data duplication is a computational technique that removes multiple copies of data that repeat. If the method is successfully used, storage utilization may be increased, which might save capital cost because less storage media would be needed overall to fulfill storage capacity requirements.